Chelsea Finn, a Stanford engineer, aims to enhance AI-powered robotics for everyday tasks like cooking and picture hanging. Despite advances, the robotics field faces significant challenges as many problems remain unsolved. Current robots excel in repetitive tasks but struggle with variability in real-world environments. Finn's lab has demonstrated robots capable of folding laundry, while Google has introduced an AI robot for lunch-packing. Still, experts caution that the full realization of intelligent robotics isn't imminent, urging a balanced understanding of progress versus expectations.
"In the long term we want to develop software that would allow the robots to operate intelligently in any situation," she says.
"Robots are not going to suddenly become this science fiction dream overnight," says Ken Goldberg, a professor at UC Berkeley.
Machines are at their best when they perform highly repetitive movements in a carefully controlled environment—for example, on an automotive assembly line inside a factory.
In Finn's laboratory at Stanford University, graduate student Moo Jin Kim demonstrates how AI-powered robots at least have the potential to fix some of the limitations.
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